Hector Mendoza
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Optimization & Training — 10 citations into it; #1,998 of 2,601 by trust here, #1,298 by citations
- Management Science and Operations Research — 5 citations into it
- Neural Architecture Search & AutoML — 5 citations into it; #199 of 283 by trust here, #133 by citations
Whom Hector Mendoza trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Frank Hutter
- Matthew D. Zeiler
- Diederik P. Kingma
- Katharina Eggensperger
- Geoffrey E. Hinton
- Matthias Feurer
- Alex Krizhevsky
- Yoshua Bengio
- James Bergstra
- Yann LeCun
Who trusts Hector Mendoza overall
- Barret Zoph
- Isabelle M Guyon
- Han Cai
- Stefan Falkner
- Quoc V. Le
- Xin He
- Radwa El Shawi
- Shengcao Cao
- Weiyu Cheng
- Shenyang Huang
Papers from Hector Mendoza's perspective
Ordered by how strongly the researchers Hector Mendoza trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Towards Automatically-Tuned Neural Networks (2016) — 222 citations